thearn4

42 ms·

121.
by thearn4 9y ago
The sibling comments are great, so I'll comment in a more direct application-oriented way: Krylov methods provide a way to expose most the machinery of linear algebra to you by means of only forward matrix-multiplication with the relev
122.
by thearn4 9y ago
Very cool! I seem to have missed that in thumbing through the outline.
123.
by thearn4 9y ago
It's an interesting point that robust autonomous systems may be more likely to emerge in organizations from places that have distinct seasons (including a perennial 'orange construction barrel' season).
124.
by thearn4 9y ago
Cleveland Clinic and NASA could have a role too, but could really use some coordination.
125.
by thearn4 9y ago
As a Cleveland native, I look at Pittsburgh somewhat jealously as a city that is achieving what Cleveland has been slow to do over the last 30 years: find a post-industrial midwestern identity.
126.
by thearn4 9y ago
GMRES/Krylov spaces seem like they ought to have more of a place in deep learning. But maybe thats the mathematical part of me having a hammer and wanting to see everything as a nail. One possibility that I haven't seen: if you ha
127.
by thearn4 9y ago
Looks like a reasonable overview of applications of dense linear algebra operations, with very specific applications in mind. I feel like iterative Krylov subspace methods should be around somewhere, but to be honest I'm not sure what
128.
by thearn4 9y ago
It seems like a smart space to try to develop something for. On the business side though, most of what I've seen are flashy and would probably get used less than a dozen times before being ditched for being to cumbersome.
129.
by thearn4 9y ago
Something like this for changing drum brakes in a car would be great. Or changing a baby's diaper. It's probably not worth a headset for any single one of those tasks, but for one that can be used with some training platform to le
130.
by thearn4 9y ago
An analog to Travis CI for this would be interesting and delicious. An analog to Docker images would be something like Blue Apron or Hellofresh I guess.
131.
by thearn4 9y ago
I've had similar thoughts when it comes to recognizing the underlying (potential) simplicity of a phenomena of interest. For example, consider a toy experiment where you take dozens of high speed sensors pointed a rig in order to study
132.
by thearn4 9y ago
I'm a mathematician, and never quite got the emphasis on "beauty" that some obsess over. Maybe I'm just too deep into the applied side. But mathematical beauty to me is unexpected terseness or conciseness in a result. Wh
133.
by thearn4 9y ago
We saw similar rallying in the year following 9-11 and the initial invasion of Afghanistan. With the invasion of Iraq in 2003, it became more complicated very quickly.
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by thearn4 9y ago
i.e. what is sometimes called the "Alabama Space Mafia".
135.
by thearn4 9y ago
I think that it would be a good place to develop ISRU capability, to enable us to do further exploration targets in the future.
136.
by thearn4 9y ago
I'm a bigger fan of putting a semi-permanent ISS 2.0 on the surface of the moon vs. boots on Mars. I don't work directly in exploration systems, but I'm not the only one at NASA who feels this way. But more than anything I th
137.
Students Are Better Off Without a Laptop in the Classroom(scientificamerican.com)
425 points by thearn4 9y ago|243 comments
138.
by thearn4 9y ago
It's pretty cool. Based on the video, by dipping at various angles it looks like the process is solving an inverse problem in the Radon or Hough transform domains, something similar to what is done in medical tomographic imaging.
139.
by thearn4 9y ago
I almost miss the days when everything was about Hitler. At least then it had the veneer of being historical. Now it's about ice road truckers, pawn shops, and things hillbillies like.
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by thearn4 9y ago
I guess part of this is doctors overprescribing to prevent patient complaints, based on how much patient satisfaction surveys are used to rate their year over year performance. I don't know if its the AMA to blame for that or not, but
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by thearn4 9y ago
I think there is room to exchange ideas between the nonlinear programming and ML communities for sure. Specifically for momentum, if I understand it right it's a particular way of perturbing step size and gradient steps to prevent osci
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by thearn4 9y ago
It isn't mentioned in the abstract, but this seems to be more of an overview of ML-specific notions of gradient descent, where batch processing is possible due to needing to leverage gradients of a fixed prediction architecture over a
143.
by thearn4 9y ago
This is a great idea for FB and Reddit. For HN, it's a tougher call for me, I value the topics and discussions a lot more than I do most other sites. But it is probably a giant distraction when taken as a whole. Slack is another one I&
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by thearn4 9y ago
For another point of comparison, has there been a "us vs. them" dynamic in the computer vision community when it comes to deep learning? After all, it seems like deep convolutional networks did sort of railroad there way through a
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by thearn4 9y ago
The SR-71 story never fails to put a smile on my face.
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by thearn4 9y ago
Scrum master feels more like a role rather than a job title. Like one thing that you do among other things.
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by thearn4 9y ago
Yes, and frankly it is bad history. Development of intermediate cartridges and their adoption by NATO forces had nothing to do with purposefully limiting lethality. It's about finding a better balance between controllability at increa
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by thearn4 9y ago
> Another problem cited for INSAS was that it performs badly in Close Quarter Battles (CQBs) for which the forces preferred AK47. However, INSAS was a field weapon and its 5.56mm ammo (designed to injure, not kill) was not suited for CQB
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by thearn4 9y ago
It's such a broad cross-disciplinary area, it's tough to define a good entry point that is reasonable for everyone. But I'd say actually start with getting a solid foundation on statistics (point estimation, and hypothesis te
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by thearn4 9y ago
I've commented on this before, but matplotlib is sort of stuck between a rock and a hard place of supporting the cruft of MATLAB plotting syntax, and trying to be pythonic. I'm still a big fan of it because I've grown with it

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